Model Details
Full Model IDhandy-computer/nemotron-3.5-asr-streaming-0.6b-gguf
Pipeline / Taskautomatic-speech-recognition
Librarytranscribe.cpp
Downloads (all-time)1.8M
Likes11
Last Modified9/15/2026
Author / Orghandy-computer
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("automatic-speech-recognition", model="handy-computer/nemotron-3.5-asr-streaming-0.6b-gguf")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transcribe.cppggufasrspeech-to-textparakeetconformerrnntstreamingcache-awaremultilingualautomatic-speech-recognitionenesfritptnldetrruarhijakoviukplsvcsnb
More Speech Recognition Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🎙️ Task: Speech Recognition
This model is designed for the Speech Recognition task. Explore more models for this use case.
All Speech Recognition Models →📊 Popularity
⬇ Downloads1.8M
❤️ Community Likes11
🛠️ Requirements
- →Install: pip install transcribe.cpp
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.